Data Scientist II, Applied ML
Core
Develop and deploy machine learning models to manage risk and improve customer experience across financial operations.
Role type
Mid-level applied machine learning engineer
Builds
Production ML models for risk management and customer experience
Domain
Fintech / Financial Services
Deliverable
production ML models
Required skills
Python, SQL, machine learning frameworks, statistical techniques (hypothesis/A-B testing), software engineering fundamentals (API development), model productionization
Preferred skills
Real-time model experience, advanced degree (MSc/PhD) in ML, risk domain experience (fraud, AML, credit), fintech industry experience
Technologies
Python, SQL, ML frameworks
Responsibilities
Own end-to-end model development lifecycle from conception to productionization, partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, Credit), drive AI solutions to manage risk and improve customer experience
Seniority
Mid-level, hands-on IC
